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Provides a time series forecasting environment for Weka. Includes a wrapper for Weka regression schemes that automates the process of creating lagged variables and date-derived periodic variables and provides the ability to do closed-loop forecasting. New evaluation routines are provided by a special evaluation module and graphing of predictions/forecasts are provided via the JFreeChart library. Includes both command-line and GUI user interfaces. Sample time series data can be found in ${WEKA_HOME}/packages/timeseriesForecasting/sample-data.
/*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
/*
* IncrementallyPrimable.java
* Copyright (C) 2010-2016 University of Waikato, Hamilton, New Zealand
*/
package weka.classifiers.timeseries.core;
import weka.core.Instance;
/**
* An interface to a forecaster that can be primed incrementally. I.e.
* one instance at a time.
*
* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: 45163 $
*/
public interface IncrementallyPrimeable {
/**
* Update the priming information incrementally, i.e. one instance at
* a time. To indicate the start of a new batch of priming data
* an empty set of instances must be passed to TSForecaster.primeForecaster()
* before the first call to primeForecasterIncremental()
*
* @param inst the instance to prime with.
* @throws Exception if something goes wrong.
*/
void primeForecasterIncremental(Instance inst) throws Exception;
}